Hybrid Renewable Energy System Optimization - Mahdiraji, Ebadollah Amouzad
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To carry out this research in the field of up-to-date articles selected from reputable journals and by investigating different types of optimization methods, genetic algorithm is used for optimization. The genetic algorithm is the most well-known intelligent optimization method and an evolutionary algorithm. We have done an example on a network in Palestine. The optimized parameters include the components and angles of the deviation of the PV and the surface and the type of its installation. Some steps need to be taken into account, including balanced energy for each hour throughout the year,…mehr

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Produktbeschreibung
To carry out this research in the field of up-to-date articles selected from reputable journals and by investigating different types of optimization methods, genetic algorithm is used for optimization. The genetic algorithm is the most well-known intelligent optimization method and an evolutionary algorithm. We have done an example on a network in Palestine. The optimized parameters include the components and angles of the deviation of the PV and the surface and the type of its installation. Some steps need to be taken into account, including balanced energy for each hour throughout the year, before the start of optimization. Each energy source must be calculated by the mathematical model of each component or component, as well as solar radiation analysis. These are the equivalent circuit parameters of the PV model in both said models including series resistance (SR) and parallel resistance (PR) and ideal diode coefficient. Shall also be calculated and used.
Autorenporträt
Department of Engineering, Sari Branch, Islamic Azad University, Sari, Iran